------------------------------------------------------------------------------------------------------------------------------------
      name:  plog_884
       log:  /accounts/projects/jr_ra/GRscarring/erratum/programs/analysis/cohfxregs.log
  log type:  text
 opened on:  27 Nov 2024, 17:58:56

. 
. 
. *Regressions of cohort effects from various models on the unemployment rate at entry
. 
. * Edits:
. * RY, 5/22/18: Added new topcoded annual earnings variable  
. * NR, 1/20/19: Append cohort effects for each variable for cohorts 2002, 2006
. *              and 2010
. * JR, 5/3/19:  Report the regression in the log, and adjust the calculation and reporting
. *              of the 2002-6-10 cohort effects. 
. * NG, 9/27/19; Added New tables and figures for revision
. * NG: 1/3/2020:  Updated to match with the new cohort and birthcohort variables 
. * NG, 1/5/20; Fixed issue with the tables and the recession area
. * JR, 1/16/20: Fixed loop issue to generate predicted values from regressions
. * NG:  02/19/2020:  Updated to keep only new figures used in the paper. 
. *                                  See  GRscarring/archive/archive_20200216_161201/programs/analysis/old for a older and longer ve
> rsion of this program 
. * JR: 4/12/2020: Entirely rewritten
. 
. 
. 
. set more off

. eststo clear

. clear

. cap project, doinfo

. if _rc==0 {
.         local pdir "`r(pdir)'"                                                      // the project's main dir.
.         local dofile "`r(dofile)'"                                                  // do-file's stub name
.         local sig {bind:{hi:[`dofile'.dta. RP : `dofile'.do, `c(current_date)']}}       // a signature in notes
.         local doasproject=1
. }

. else {
.         local pdir "~/GRscarring"
.         local dofile "cohfxregs"
.         local doasproject=0
. }

. 
. set more off

. local rootdir "`pdir'"

. local thisdir "`pdir'"

. 
. local scratch "`pdir'/scratch"

. local rawdata "`pdir'/rawdata"

. local output "`pdir'/results"

. 
. if `doasproject'==1 {
.         project, uses(`scratch'/extrapolate_coeffs.dta)
project GRscar_erratum > do-file uses: "/scratch/public/jr_ra/GRscarring2024/erratum/scratch/extrapolate_coeffs.dta" filesig(3506803
> 25:2415967)
.         project, uses(`scratch'/unrate_national.dta)
project GRscar_erratum > do-file uses: "/scratch/public/jr_ra/GRscarring2024/erratum/scratch/unrate_national.dta" filesig(1052845851
> :51188)
. }

. 
. **Prepare data - cohoft effects
. use `scratch'/extrapolate_coeffs, clear

. 
. *We keep only the cohort models
. keep if ivartype=="FV" & fvname=="entrycohort"
(15,016 observations deleted)

. 
. * Since extrapolate is defined by the entrycohort date, we redefine a birthcohort variable based on the level of education
. gen educ=real(substr(model,3,1))

. gen birthcohort=.
(6,602 missing values generated)

. replace birthcohort=fvval-22 if educ==1
(3,283 real changes made)

. replace birthcohort=fvval-18 if educ==0
(3,319 real changes made)

. 
. * We use entrycohort to match with the actual unemployment rate 
. gen entrycohort= fvval

. gen yearmo=ym(entrycohort,7)

. merge m:1 yearmo using `scratch'/unrate_national, keepusing(ur_nat_annual) keep(1 3) nogen

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             6,602  
    -----------------------------------------

. rename ur_nat_annual ur0

. 
. replace b=b*100 if inlist(depvar,"labfor", "empl", "unem", "livewithprnt", "married", "lives_spouse_oth", "chld_pr")
(2,148 real changes made)

. replace se=se*100 if inlist(depvar,"labfor", "empl", "unem", "livewithprnt", "married", "lives_spouse_oth", "chld_pr")
(1,854 real changes made)

. 
. // Different UR0 after the year 2004
. gen post2005=0

. replace post2005=1 if fvval>2004   
(1,784 real changes made)

. gen ur0_post2005= ur0 * post2005

. gen postc=(fvval-2004)*post2005

. gen post1978=0

. replace post1978=1 if fvval>1977
(5,348 real changes made)

. gen postc1978=(fvval-1977)*post1978

. 
. * We create a quadratic term
. gen year2=(birthcohort-1980)^2  

. 
. levelsof depvar, local(dvars)
`"empl"' `"log_pearnval_tc_r"' `"rw_l"'

. levelsof model, local(mods)
`"mA0a"' `"mA0b"' `"mA0c"' `"mA1a"' `"mA1b"' `"mA1c"' `"mB0a"' `"mB0b"' `"mB0c"' `"mB0d"' `"mB1a"' `"mB1b"' `"mB1c"' `"mB1d"' `"mC0a
> "' `"mC0b"' `"mC0c"' `"mC0d"' `"mC1a"' `"mC1b"' `"mC1c"' `"mC1d"' `"mD0a"' `"mD0b"' `"mD0c"' `"mD0d"' `"mD1a"' `"mD1b"' `"mD1c"' `
> "mD1d"' `"mE0a"' `"mE0b"' `"mE0c"' `"mE0d"' `"mE1a"' `"mE1b"' `"mE1c"' `"mE1d"' `"mF0a"' `"mF0b"' `"mF0c"' `"mF1a"' `"mF1b"' `"mF1
> c"'

. local dvars "empl rw_l"

. 
. gen ur0_save=ur0

. su ur0, meanonly

. local avgur0=r(mean)

. egen dvarmod=group(depvar model)

. 
. tempfile cohfx

. save `cohfx'
file /tmp/St2868349.000004 saved as .dta format

. 
. **Prepare data - time effects
. use `scratch'/extrapolate_coeffs, clear

. 
. *We keep only the cohort models
. keep if ivartype=="FV" & fvname=="year"
(17,030 observations deleted)

. 
. * Since extrapolate is defined by the entrycohort date, we redefine a birthcohort variable based on the level of education
. gen educ=real(substr(model,3,1))

. 
. * We use entrycohort to match with the actual unemployment rate 
. gen year= fvval

. gen yearmo=ym(year,7)

. merge m:1 yearmo using `scratch'/unrate_national, keepusing(ur_nat_annual) keep(1 3) nogen

    Result                      Number of obs
    -----------------------------------------
    Not matched                             0
    Matched                             4,588  
    -----------------------------------------

. rename ur_nat_annual ur

. 
. replace b=b*100 if inlist(depvar,"labfor", "empl", "unem", "livewithprnt", "married", "lives_spouse_oth", "chld_pr")
(1,515 real changes made)

. replace se=se*100 if inlist(depvar,"labfor", "empl", "unem", "livewithprnt", "married", "lives_spouse_oth", "chld_pr")
(1,515 real changes made)

. 
. // Different UR after the year 2004
. gen post2005=0

. replace post2005=1 if fvval>2004   
(1,624 real changes made)

. gen ur0_post2005= ur * post2005

. gen postt=(fvval-2004)*post2005

. gen post1978=0

. replace post1978=1 if fvval>1977
(4,588 real changes made)

. gen postt1978=(fvval-1977)*post1978

. 
. * We create a quadratic term
. gen year2=(year-1980)^2  

. 
. levelsof depvar, local(dvars)
`"empl"' `"log_pearnval_tc_r"' `"rw_l"'

. levelsof model, local(mods)
`"mB0a"' `"mB0b"' `"mB0c"' `"mB0d"' `"mB1a"' `"mB1b"' `"mB1c"' `"mB1d"' `"mC0a"' `"mC0b"' `"mC0c"' `"mC0d"' `"mC1a"' `"mC1b"' `"mC1c
> "' `"mC1d"' `"mD0a"' `"mD0b"' `"mD0c"' `"mD0d"' `"mD1a"' `"mD1b"' `"mD1c"' `"mD1d"' `"mE0a"' `"mE0b"' `"mE0c"' `"mE0d"' `"mE1a"' `
> "mE1b"' `"mE1c"' `"mE1d"' `"mF0a"' `"mF0b"' `"mF0c"' `"mF1a"' `"mF1b"' `"mF1c"'

. local dvars "empl rw_l"

. 
. gen ur_save=ur

. su ur, meanonly

. local avgur=r(mean)

. egen dvarmod=group(depvar model)

. 
. tempfile timefx

. save `timefx'
file /tmp/St2868349.000005 saved as .dta format

. 
. 
. ****Run cyclicality regressions - cohort effeccts
. // Four loops:
. //  1) Outcomes, 
. //  2) Cohort effect models -- age-adjusted, basic A-T-C decomposition, scarring, sensitivity, both
. //  3) Samples: Full sample, pre-GR
. //  4) Three regression models: no controls, time trend, time trend*post-2005 indicator.
. use `cohfx', clear

. estimates clear

. xtset dvarmod entrycohort

Panel variable: dvarmod (unbalanced)
 Time variable: entrycohort, 1957 to 2019
         Delta: 1 unit

. tempvar pred

. local nmodels=0

. foreach depvar in empl rw_l {
  2.   foreach cohfx in A B D C E {
  3.     foreach samp in full preGR {
  4.       if "`samp'"=="full" local select 
  5.       else if "`samp'"=="preGR" local select "& entrycohort<2005"
  6. 
.       foreach controls in none trend break break78 2break {
  7.          if "`controls'"=="none" local X ""
  8.          if "`controls'"=="trend" local X "entrycohort"
  9.          if "`controls'"=="break" local X "entrycohort post2005 postc"
 10.          if "`controls'"=="break78" local X "entrycohort post1978 postc1978"
 11.          if "`controls'"=="2break" local X "entrycohort post2005 postc post1978 postc1978"
 12.          if "`controls'"=="none" local spec "0"
 13.          if "`controls'"=="trend" local spec "1"
 14.          if "`controls'"=="break" local spec "2"
 15.          if "`controls'"=="break78" local spec "3"
 16.          if "`controls'"=="2break" local spec "4"
 17.          di
 18.          di
 19.          di "Depvar: `depvar'. Cohort effects type: `cohfx'. Sample: `samp'. Controls: `controls'"
 20.          if "`samp'"=="preGR" & inlist("`controls'","break","2break") di "Skipping model"
 21.          else {
 22.            newey b ur0 `X' if depvar=="`depvar'" & model=="m`cohfx'1b" `select', lag(2)
 23.            eststo `depvar'_`cohfx'_`samp'_`controls'_cohort, title("`cohfx'_`spec'_`samp'")
 24.            local b_`depvar'_`cohfx'_`samp'_`controls'_cohort=_b[ur0]
 25.           
.            predict `pred' , xb
 26.            cap confirm var fitted_`samp'_`spec'
 27.            if _rc==0 {
 28.              replace fitted_`samp'_`spec'=`pred' if depvar=="`depvar'" & model=="m`cohfx'1b"
 29.              replace resid_`samp'_`spec'=b-fitted_`samp'_`spec' if depvar=="`depvar'" & model=="m`cohfx'1b"
 30.            }
 31.            else {
 32.              gen fitted_`samp'_`spec'=`pred' if depvar=="`depvar'" & model=="m`cohfx'1b"
 33.              gen resid_`samp'_`spec'=b-fitted_`samp'_`spec' if depvar=="`depvar'" & model=="m`cohfx'1b"
 34.            }
 35.            drop `pred'
 36.          }
 37.          local nmodels=`nmodels'+1
 38.       } // end of controls loop
 39.     } // end of samp loop
 40.   } // end of cohfx loop 
 41. } // End of depvar loop


Depvar: empl. Cohort effects type: A. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  1,        48) =       0.38
                                                Prob > F          =     0.5411

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .1421438   .2308976     0.62   0.541     -.322107    .6063946
       _cons |  -2.742834   1.360448    -2.02   0.049    -5.478198   -.0074704
------------------------------------------------------------------------------
(6,552 missing values generated)
(6,552 missing values generated)


Depvar: empl. Cohort effects type: A. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  2,        47) =      67.07
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0354506   .0701508    -0.51   0.616    -.1765759    .1056747
 entrycohort |  -.0900537   .0081236   -11.09   0.000    -.1063962   -.0737112
       _cons |   177.9706   16.40169    10.85   0.000     144.9747    210.9666
------------------------------------------------------------------------------
(6,552 missing values generated)
(6,552 missing values generated)


Depvar: empl. Cohort effects type: A. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =      96.51
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0041691   .0614448    -0.07   0.946    -.1279252    .1195871
 entrycohort |  -.0680161   .0095607    -7.11   0.000    -.0872723     -.04876
    post2005 |  -.7396607   .2953324    -2.50   0.016    -1.334491   -.1448306
       postc |  -.0116854   .0234577    -0.50   0.621    -.0589317    .0355609
       _cons |   134.0727   19.12482     7.01   0.000     95.55337    172.5921
------------------------------------------------------------------------------
(6,552 missing values generated)
(6,552 missing values generated)


Depvar: empl. Cohort effects type: A. Sample: full. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =     451.72
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0848024   .0340642    -2.49   0.017    -.1534112   -.0161936
 entrycohort |  -.0286534   .0215885    -1.33   0.191     -.072135    .0148281
    post1978 |   .9958035   .1699853     5.86   0.000     .6534354    1.338172
   postc1978 |  -.0836644   .0217992    -3.84   0.000    -.1275703   -.0397585
       _cons |   56.48842   42.47175     1.33   0.190    -29.05407    142.0309
------------------------------------------------------------------------------
(6,552 missing values generated)
(6,552 missing values generated)


Depvar: empl. Cohort effects type: A. Sample: full. Controls: 2break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  6,        43) =     425.16
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0751536   .0342626    -2.19   0.034    -.1442507   -.0060565
 entrycohort |  -.0325359   .0217179    -1.50   0.141    -.0763341    .0112624
    post2005 |   -.231331   .1970148    -1.17   0.247    -.6286492    .1659873
       postc |   .0213625   .0166304     1.28   0.206    -.0121759     .054901
    post1978 |   1.001885   .2065061     4.85   0.000      .585426    1.418345
   postc1978 |    -.07839   .0247303    -3.17   0.003    -.1282633   -.0285166
       _cons |   64.08994   42.73534     1.50   0.141    -22.09408     150.274
------------------------------------------------------------------------------
(6,552 missing values generated)
(6,552 missing values generated)


Depvar: empl. Cohort effects type: A. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  1,        33) =       9.69
                                                Prob > F          =     0.0038

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .2753937   .0884715     3.11   0.004     .0953971    .4553904
       _cons |  -2.819011    .666645    -4.23   0.000     -4.17531   -1.462711
------------------------------------------------------------------------------
(6,552 missing values generated)
(6,552 missing values generated)


Depvar: empl. Cohort effects type: A. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  2,        32) =      39.48
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .1095689   .0607898     1.80   0.081    -.0142558    .2333936
 entrycohort |  -.0626032   .0073641    -8.50   0.000    -.0776034    -.047603
       _cons |   122.6079   14.70059     8.34   0.000     92.66376     152.552
------------------------------------------------------------------------------
(6,552 missing values generated)
(6,552 missing values generated)


Depvar: empl. Cohort effects type: A. Sample: preGR. Controls: break
Skipping model


Depvar: empl. Cohort effects type: A. Sample: preGR. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  4,        30) =      58.04
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0025993   .0480965    -0.05   0.957    -.1008254    .0956269
 entrycohort |  -.0617304   .0274956    -2.25   0.032    -.1178839   -.0055769
    post1978 |   .9950743   .1785771     5.57   0.000     .6303712    1.359777
   postc1978 |   -.041156     .03182    -1.29   0.206    -.1061411    .0238291
       _cons |     121.25    54.0717     2.24   0.032     10.82086    231.6791
------------------------------------------------------------------------------
(6,552 missing values generated)
(6,552 missing values generated)


Depvar: empl. Cohort effects type: A. Sample: preGR. Controls: 2break
Skipping model


Depvar: empl. Cohort effects type: B. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  1,        48) =       0.05
                                                Prob > F          =     0.8244

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0544837    .244266     0.22   0.824    -.4366461    .5456135
       _cons |  -1.244946   1.676628    -0.74   0.461    -4.616032    2.126141
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: B. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  2,        47) =      30.19
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.1111271   .1095309    -1.01   0.316    -.3314748    .1092207
 entrycohort |  -.0839771   .0147334    -5.70   0.000    -.1136169   -.0543373
       _cons |   167.2744   28.90477     5.79   0.000     109.1255    225.4233
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: B. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =     247.49
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0957617   .0260177    -3.68   0.001    -.1481641   -.0433593
 entrycohort |   -.019035   .0051477    -3.70   0.001    -.0294031    -.008667
    post2005 |  -.0198423   .1856019    -0.11   0.915    -.3936637    .3539791
       postc |  -.2803863   .0221147   -12.68   0.000    -.3249276   -.2358449
       _cons |   38.33115   10.31088     3.72   0.001     17.56398    59.09833
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: B. Sample: full. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =      41.53
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.1506824   .1054168    -1.43   0.160    -.3630028     .061638
 entrycohort |  -.1040465   .0464463    -2.24   0.030    -.1975941   -.0104989
    post1978 |    1.36995   .4316879     3.17   0.003     .5004857    2.239414
   postc1978 |  -.0031336   .0428463    -0.07   0.942    -.0894303    .0831632
       _cons |   206.4541   91.07455     2.27   0.028     23.02052    389.8876
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: B. Sample: full. Controls: 2break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  6,        43) =     302.84
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0684297   .0201722    -3.39   0.001    -.1091107   -.0277487
 entrycohort |  -.1371434   .0249285    -5.50   0.000    -.1874165   -.0868703
    post2005 |  -.1290692    .144645    -0.89   0.377    -.4207737    .1626353
       postc |  -.2830637   .0200155   -14.14   0.000    -.3234287   -.2426986
    post1978 |    .313465   .0827901     3.79   0.000     .1465029    .4804271
   postc1978 |    .124583      .0266     4.68   0.000     .0709391    .1782269
       _cons |   271.2547   49.14405     5.52   0.000     172.1463    370.3631
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: B. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  1,        33) =       7.71
                                                Prob > F          =     0.0090

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0999421   .0359969    -2.78   0.009    -.1731784   -.0267059
       _cons |    .534593   .2752165     1.94   0.061    -.0253392    1.094525
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: B. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  2,        32) =      16.32
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.1582384   .0354062    -4.47   0.000    -.2303586   -.0861183
 entrycohort |  -.0220084   .0041255    -5.33   0.000    -.0304118    -.013605
       _cons |   44.62884   8.320679     5.36   0.000     27.68017    61.57751
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: B. Sample: preGR. Controls: break
Skipping model


Depvar: empl. Cohort effects type: B. Sample: preGR. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  4,        30) =      36.57
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.1245074    .025947    -4.80   0.000    -.1774982   -.0715166
 entrycohort |  -.1145788   .0250294    -4.58   0.000    -.1656958   -.0634619
    post1978 |   .3187293   .0835024     3.82   0.001     .1481946     .489264
   postc1978 |   .0958046   .0261845     3.66   0.001     .0423288    .1492805
       _cons |   227.0754   49.31597     4.60   0.000     126.3587     327.792
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: B. Sample: preGR. Controls: 2break
Skipping model


Depvar: empl. Cohort effects type: D. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  1,        48) =       0.73
                                                Prob > F          =     0.3987

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .2071162   .2432096     0.85   0.399    -.2818895    .6961219
       _cons |  -2.192685   1.748705    -1.25   0.216    -5.708693    1.323323
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: D. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  2,        47) =       8.45
                                                Prob > F          =     0.0007

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0818386   .1490208     0.55   0.585    -.2179527    .3816298
 entrycohort |  -.0635251   .0191146    -3.32   0.002    -.1019788   -.0250715
       _cons |   125.2852   37.36316     3.35   0.002     50.12023    200.4502
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: D. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =      42.49
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0922313   .0513792     1.80   0.079    -.0112516    .1957143
 entrycohort |   .0155541   .0077243     2.01   0.050    -3.33e-06    .0311116
    post2005 |   .2096972   .3451047     0.61   0.546    -.4853794    .9047739
       postc |  -.3680542   .0463041    -7.95   0.000    -.4613154   -.2747929
       _cons |  -31.68246   15.47246    -2.05   0.046    -62.84559   -.5193264
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: D. Sample: full. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =       8.90
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0382698   .1484201     0.26   0.798    -.2606637    .3372033
 entrycohort |  -.1231265   .0637521    -1.93   0.060    -.2515299    .0052769
    post1978 |   1.818419   .5936262     3.06   0.004     .6227944    3.014043
   postc1978 |   .0311441   .0565266     0.55   0.584    -.0827062    .1449945
       _cons |   242.3403   124.9601     1.94   0.059    -9.342203    494.0229
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: D. Sample: full. Controls: 2break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  6,        43) =      34.21
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .1307371   .0484086     2.70   0.010     .0331118    .2283624
 entrycohort |  -.1603336   .0367062    -4.37   0.000    -.2343587   -.0863085
    post2005 |   .0636798   .2883124     0.22   0.826    -.5177575    .6451172
       postc |  -.3709128   .0434896    -8.53   0.000     -.458618   -.2832076
    post1978 |   .5051776   .1544724     3.27   0.002     .1936543     .816701
   postc1978 |   .1840959   .0404657     4.55   0.000     .1024891    .2657027
       _cons |   315.1883   72.26599     4.36   0.000       169.45    460.9265
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: D. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  1,        33) =       3.20
                                                Prob > F          =     0.0829

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0757983   .0423836    -1.79   0.083    -.1620283    .0104317
       _cons |   .2716207   .2386514     1.14   0.263    -.2139193    .7571606
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: D. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  2,        32) =       3.31
                                                Prob > F          =     0.0495

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0528925   .0397995    -1.33   0.193    -.1339615    .0281765
 entrycohort |   .0086475   .0047379     1.83   0.077    -.0010032    .0182983
       _cons |   -17.0539   9.482009    -1.80   0.082    -36.36812    2.260323
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: D. Sample: preGR. Controls: break
Skipping model


Depvar: empl. Cohort effects type: D. Sample: preGR. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  4,        30) =      15.00
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   -.034282   .0283473    -1.21   0.236    -.0921748    .0236109
 entrycohort |   -.093933   .0259069    -3.63   0.001    -.1468421    -.041024
    post1978 |   .5206687   .1147159     4.54   0.000     .2863877    .7549498
   postc1978 |   .0994102   .0273721     3.63   0.001     .0435089    .1553116
       _cons |   185.1823   51.04679     3.63   0.001     80.93085    289.4337
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: D. Sample: preGR. Controls: 2break
Skipping model


Depvar: empl. Cohort effects type: C. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  1,        48) =       0.30
                                                Prob > F          =     0.5854

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .1428078   .2600008     0.55   0.585    -.3799588    .6655744
       _cons |  -1.877966   1.841481    -1.02   0.313    -5.580513     1.82458
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: C. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  2,        47) =      10.88
                                                Prob > F          =     0.0001

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0010635   .1471487    -0.01   0.994    -.2970885    .2949615
 entrycohort |  -.0729535   .0201527    -3.62   0.001    -.1134956   -.0324115
       _cons |   144.5201   39.48621     3.66   0.001     65.08411    223.9561
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: C. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =     136.08
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0041136   .0295591    -0.14   0.890    -.0636488    .0554216
 entrycohort |   .0052738   .0039524     1.33   0.189    -.0026867    .0132343
    post2005 |   .5822581   .2825139     2.06   0.045     .0132459     1.15127
       postc |  -.4067712   .0332069   -12.25   0.000    -.4736534    -.339889
       _cons |  -10.68382   7.936144    -1.35   0.185    -26.66804    5.300392
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: C. Sample: full. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =      12.12
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0600751   .1420517    -0.42   0.674    -.3461819    .2260318
 entrycohort |   -.058739   .0596416    -0.98   0.330    -.1788633    .0613853
    post1978 |   1.679354   .5541354     3.03   0.004     .5632681     2.79544
   postc1978 |  -.0454154     .05208    -0.87   0.388    -.1503098    .0594791
       _cons |   115.9449   116.8594     0.99   0.326     -119.422    351.3118
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: C. Sample: full. Controls: 2break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  6,        43) =      98.21
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0080351   .0329942     0.24   0.809    -.0585041    .0745743
 entrycohort |  -.0861453   .0267361    -3.22   0.002    -.1400637   -.0322269
    post2005 |   .5659426   .2896488     1.95   0.057    -.0181899    1.150075
       postc |  -.4042172   .0324479   -12.46   0.000    -.4696546   -.3387797
    post1978 |   .3998961     .09311     4.29   0.000     .2121218    .5876705
   postc1978 |   .0905528   .0299865     3.02   0.004     .0300793    .1510264
       _cons |   169.6037   52.64986     3.22   0.002     63.42511    275.7822
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: C. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  1,        33) =       7.48
                                                Prob > F          =     0.0100

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0813909   .0297558    -2.74   0.010    -.1419296   -.0208522
       _cons |   .2772492   .1635298     1.70   0.099    -.0554546    .6099531
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: C. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  2,        32) =       3.92
                                                Prob > F          =     0.0299

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0765532   .0300402    -2.55   0.016    -.1377431   -.0153633
 entrycohort |   .0018263   .0027721     0.66   0.515    -.0038203     .007473
       _cons |   -3.38187   5.554699    -0.61   0.547    -14.69642    7.932681
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: C. Sample: preGR. Controls: break
Skipping model


Depvar: empl. Cohort effects type: C. Sample: preGR. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  4,        30) =      27.04
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0841747   .0249498    -3.37   0.002     -.135129   -.0332205
 entrycohort |  -.0490418   .0224462    -2.18   0.037     -.094883   -.0032006
    post1978 |   .4085523   .0779202     5.24   0.000      .249418    .5676867
   postc1978 |    .043232   .0242426     1.78   0.085    -.0062781     .092742
       _cons |   96.95856   44.21124     2.19   0.036     6.667173      187.25
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: C. Sample: preGR. Controls: 2break
Skipping model


Depvar: empl. Cohort effects type: E. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  1,        48) =       0.36
                                                Prob > F          =     0.5526

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .1506359   .2518666     0.60   0.553    -.3557758    .6570476
       _cons |  -1.901718   1.790592    -1.06   0.294    -5.501943    1.698508
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: E. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  2,        47) =       9.91
                                                Prob > F          =     0.0003

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0142311   .1451298     0.10   0.922    -.2777323    .3061945
 entrycohort |  -.0691675   .0198294    -3.49   0.001     -.109059   -.0292759
       _cons |   136.8988   38.84399     3.52   0.001     58.75475    215.0428
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: E. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =     115.43
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0145295   .0311845     0.47   0.644    -.0482793    .0773383
 entrycohort |   .0092241   .0041231     2.24   0.030     .0009198    .0175284
    post2005 |   .4891525    .271662     1.80   0.078    -.0580029    1.036308
       postc |  -.3968836   .0327324   -12.13   0.000    -.4628101   -.3309571
       _cons |  -18.64923   8.282731    -2.25   0.029     -35.3315   -1.966948
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: E. Sample: full. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =      10.50
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   -.043096    .140493    -0.31   0.760    -.3260635    .2398715
 entrycohort |  -.0601371   .0591404    -1.02   0.315    -.1792521    .0589778
    post1978 |   1.670856   .5547302     3.01   0.004     .5535723     2.78814
   postc1978 |  -.0397102   .0517939    -0.77   0.447    -.1440285    .0646081
       _cons |    118.557   115.8823     1.02   0.312    -114.8419    351.9559
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: E. Sample: full. Controls: 2break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  6,        43) =      83.59
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0301906   .0335503     0.90   0.373      -.03747    .0978511
 entrycohort |  -.0896263   .0274888    -3.26   0.002    -.1450628   -.0341898
    post2005 |   .4523847   .2675054     1.69   0.098    -.0870913    .9918607
       postc |  -.3954188    .031603   -12.51   0.000    -.4591524   -.3316853
    post1978 |   .3883179   .0990805     3.92   0.000     .1885031    .5881327
   postc1978 |   .0995613   .0304692     3.27   0.002     .0381143    .1610083
       _cons |   176.2939   54.13755     3.26   0.002     67.11513    285.4727
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: E. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  1,        33) =       6.51
                                                Prob > F          =     0.0155

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0802243   .0314434    -2.55   0.016    -.1441964   -.0162521
       _cons |   .2700014   .1714832     1.57   0.125    -.0788837    .6188865
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: E. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  2,        32) =       5.45
                                                Prob > F          =     0.0092

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0659347   .0299583    -2.20   0.035    -.1269577   -.0049116
 entrycohort |   .0053947   .0026035     2.07   0.046     .0000915    .0106979
       _cons |   -10.5384   5.215558    -2.02   0.052    -21.16214    .0853484
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: E. Sample: preGR. Controls: break
Skipping model


Depvar: empl. Cohort effects type: E. Sample: preGR. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  4,        30) =      27.10
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0692193   .0240729    -2.88   0.007    -.1183828   -.0200558
 entrycohort |  -.0496256   .0223433    -2.22   0.034    -.0952567   -.0039946
    post1978 |   .3976499   .0794128     5.01   0.000     .2354674    .5598325
   postc1978 |   .0485455   .0238184     2.04   0.050    -.0000982    .0971892
       _cons |   97.97647   44.01372     2.23   0.034     8.088461    187.8645
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: empl. Cohort effects type: E. Sample: preGR. Controls: 2break
Skipping model


Depvar: rw_l. Cohort effects type: A. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  1,        48) =       2.66
                                                Prob > F          =     0.1097

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0101572   .0062326    -1.63   0.110    -.0226886    .0023743
       _cons |   .0798749   .0435883     1.83   0.073    -.0077651     .167515
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: A. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  2,        47) =      36.30
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0044749   .0028879    -1.55   0.128    -.0102846    .0013347
 entrycohort |   .0028813   .0003536     8.15   0.000     .0021699    .0035928
       _cons |  -5.702164   .7071633    -8.06   0.000    -7.124793   -4.279535
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: A. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =      44.97
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0023326   .0019903    -1.17   0.247    -.0063413    .0016762
 entrycohort |   .0033306   .0005217     6.38   0.000     .0022798    .0043814
    post2005 |  -.0573847   .0180235    -3.18   0.003     -.093686   -.0210834
       postc |   .0045792   .0014186     3.23   0.002      .001722    .0074365
       _cons |  -6.605316   1.042893    -6.33   0.000     -8.70581   -4.504821
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: A. Sample: full. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =      94.86
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0063979   .0022218    -2.88   0.006    -.0108728    -.001923
 entrycohort |   .0080078   .0012794     6.26   0.000     .0054308    .0105847
    post1978 |   .0162347   .0089551     1.81   0.077    -.0018017    .0342712
   postc1978 |  -.0057825    .001168    -4.95   0.000    -.0081349   -.0034301
       _cons |  -15.82416    2.51596    -6.29   0.000    -20.89156   -10.75676
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: A. Sample: full. Controls: 2break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  6,        43) =     162.99
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0054389   .0012374    -4.40   0.000    -.0079343   -.0029435
 entrycohort |   .0076219   .0009834     7.75   0.000     .0056386    .0096052
    post2005 |  -.0374079   .0127065    -2.94   0.005    -.0630329   -.0117828
       postc |    .005762   .0010752     5.36   0.000     .0035937    .0079303
    post1978 |   .0255091   .0087992     2.90   0.006     .0077638    .0432544
   postc1978 |  -.0059056   .0011587    -5.10   0.000    -.0082423   -.0035689
       _cons |  -15.06867   1.938684    -7.77   0.000    -18.97839   -11.15894
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: A. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  1,        33) =       1.69
                                                Prob > F          =     0.2024

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0068779   .0052879    -1.30   0.202    -.0176361    .0038804
       _cons |   .0409421   .0391933     1.04   0.304    -.0387973    .1206815
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: A. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  2,        32) =      34.06
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0025612    .001579     1.62   0.115     -.000655    .0057775
 entrycohort |   .0035635   .0004437     8.03   0.000     .0026598    .0044672
       _cons |  -7.098612    .884967    -8.02   0.000    -8.901231   -5.295993
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: A. Sample: preGR. Controls: break
Skipping model


Depvar: rw_l. Cohort effects type: A. Sample: preGR. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  4,        30) =     137.37
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0023896   .0015628    -1.53   0.137    -.0055813    .0008021
 entrycohort |   .0063949   .0009548     6.70   0.000     .0044449     .008345
    post1978 |   .0252229   .0078642     3.21   0.003     .0091621    .0412837
   postc1978 |  -.0043408   .0012103    -3.59   0.001    -.0068125    -.001869
       _cons |  -12.66636   1.880548    -6.74   0.000    -16.50695   -8.825773
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: A. Sample: preGR. Controls: 2break
Skipping model


Depvar: rw_l. Cohort effects type: B. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  1,        48) =       1.22
                                                Prob > F          =     0.2744

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0033467    .003027    -1.11   0.274    -.0094328    .0027394
       _cons |   .0138343   .0222571     0.62   0.537    -.0309166    .0585852
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: B. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  2,        47) =       6.07
                                                Prob > F          =     0.0045

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0010749   .0027201    -0.40   0.695    -.0065471    .0043974
 entrycohort |    .001152   .0003721     3.10   0.003     .0004035    .0019005
       _cons |  -2.297872    .749632    -3.07   0.004    -3.805937   -.7898072
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: B. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =       6.55
                                                Prob > F          =     0.0003

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0006014    .002229     0.27   0.789     -.003888    .0050908
 entrycohort |   .0016558   .0005969     2.77   0.008     .0004537     .002858
    post2005 |  -.0439328   .0170537    -2.58   0.013    -.0782807   -.0095849
       postc |   .0028099   .0013222     2.13   0.039      .000147    .0054729
       _cons |  -3.306751   1.195235    -2.77   0.008    -5.714078   -.8994232
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: B. Sample: full. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =      62.24
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0035472   .0016558    -2.14   0.038    -.0068821   -.0002123
 entrycohort |   .0079301   .0011807     6.72   0.000     .0055521    .0103081
    post1978 |   .0193301   .0075981     2.54   0.014     .0040268    .0346334
   postc1978 |  -.0076072   .0011031    -6.90   0.000     -.009829   -.0053854
       _cons |  -15.68041   2.324561    -6.75   0.000    -20.36231    -10.9985
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: B. Sample: full. Controls: 2break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  6,        43) =      63.36
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0034618   .0008506    -4.07   0.000    -.0051773   -.0017464
 entrycohort |   .0078958   .0009934     7.95   0.000     .0058924    .0098991
    post2005 |  -.0183215   .0079104    -2.32   0.025    -.0342743   -.0023687
       postc |   .0042967   .0008088     5.31   0.000     .0026657    .0059277
    post1978 |   .0291709   .0072169     4.04   0.000     .0146166    .0437252
   postc1978 |  -.0082912   .0010006    -8.29   0.000     -.010309   -.0062734
       _cons |  -15.61313   1.960035    -7.97   0.000    -19.56591   -11.66034
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: B. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  1,        33) =       0.02
                                                Prob > F          =     0.8779

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0005439   .0035146     0.15   0.878    -.0066065    .0076944
       _cons |  -.0162757   .0255562    -0.64   0.529    -.0682702    .0357187
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: B. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  2,        32) =       6.77
                                                Prob > F          =     0.0035

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0055543   .0021537     2.58   0.015     .0011674    .0099412
 entrycohort |   .0018915   .0005211     3.63   0.001     .0008301     .002953
       _cons |  -3.806002   1.044067    -3.65   0.001    -5.932698   -1.679306
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: B. Sample: preGR. Controls: break
Skipping model


Depvar: rw_l. Cohort effects type: B. Sample: preGR. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  4,        30) =      91.11
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0016549   .0011098    -1.49   0.146    -.0039214    .0006116
 entrycohort |   .0071687   .0009688     7.40   0.000     .0051901    .0091472
    post1978 |   .0290013   .0066309     4.37   0.000     .0154592    .0425434
   postc1978 |  -.0073639    .001016    -7.25   0.000     -.009439   -.0052889
       _cons |  -14.18957   1.910853    -7.43   0.000    -18.09206   -10.28709
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: B. Sample: preGR. Controls: 2break
Skipping model


Depvar: rw_l. Cohort effects type: D. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  1,        48) =       0.00
                                                Prob > F          =     0.9648

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0001575   .0035462    -0.04   0.965    -.0072876    .0069726
       _cons |  -.0051974   .0250932    -0.21   0.837    -.0556507    .0452559
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: D. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  2,        47) =      11.76
                                                Prob > F          =     0.0001

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0031924    .002337     1.37   0.178     -.001509    .0078938
 entrycohort |   .0016987   .0003584     4.74   0.000     .0009776    .0024197
       _cons |  -3.413958   .7240693    -4.71   0.000    -4.870597   -1.957318
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: D. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =      13.27
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |    .004836   .0018391     2.63   0.012     .0011319    .0085401
 entrycohort |   .0024613   .0005918     4.16   0.000     .0012693    .0036533
    post2005 |  -.0413717   .0153028    -2.70   0.010    -.0721932   -.0105502
       postc |    .001392   .0010168     1.37   0.178    -.0006559    .0034399
       _cons |  -4.936123   1.183171    -4.17   0.000    -7.319151   -2.553095
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: D. Sample: full. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =     164.78
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0006596   .0010959     0.60   0.550    -.0015477    .0028669
 entrycohort |   .0076436   .0010831     7.06   0.000     .0054621     .009825
    post1978 |   .0280476   .0063683     4.40   0.000     .0152211     .040874
   postc1978 |  -.0068714   .0010444    -6.58   0.000    -.0089751   -.0047678
       _cons |  -15.15479   2.134812    -7.10   0.000    -19.45452   -10.85506
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: D. Sample: full. Controls: 2break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  6,        43) =     152.12
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0009866   .0007952     1.24   0.221     -.000617    .0025902
 entrycohort |    .007512   .0010062     7.47   0.000     .0054827    .0095412
    post2005 |  -.0163954    .007495    -2.19   0.034    -.0315104   -.0012803
       postc |   .0028834   .0005935     4.86   0.000     .0016864    .0040803
    post1978 |   .0333987   .0074361     4.49   0.000     .0184023    .0483951
   postc1978 |  -.0070768   .0010129    -6.99   0.000    -.0091196   -.0050341
       _cons |  -14.89716   1.985294    -7.50   0.000    -18.90089   -10.89344
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: D. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  1,        33) =       0.08
                                                Prob > F          =     0.7854

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0012266   .0044677     0.27   0.785     -.007863    .0103162
       _cons |  -.0230439   .0324111    -0.71   0.482    -.0889847     .042897
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: D. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  2,        32) =      12.30
                                                Prob > F          =     0.0001

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0081659   .0022482     3.63   0.001     .0035865    .0127452
 entrycohort |   .0026198   .0005502     4.76   0.000      .001499    .0037405
       _cons |  -5.271776   1.101164    -4.79   0.000    -7.514773    -3.02878
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: D. Sample: preGR. Controls: break
Skipping model


Depvar: rw_l. Cohort effects type: D. Sample: preGR. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  4,        30) =     161.36
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0006465   .0012646     0.51   0.613    -.0019361     .003229
 entrycohort |   .0076488   .0009787     7.82   0.000       .00565    .0096476
    post1978 |   .0334306    .007572     4.42   0.000     .0179666    .0488947
   postc1978 |  -.0072514   .0010635    -6.82   0.000    -.0094234   -.0050794
       _cons |  -15.16515   1.930389    -7.86   0.000    -19.10753   -11.22277
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: D. Sample: preGR. Controls: 2break
Skipping model


Depvar: rw_l. Cohort effects type: C. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  1,        48) =       0.60
                                                Prob > F          =     0.4442

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0022072   .0028608    -0.77   0.444    -.0079592    .0035447
       _cons |    .005971   .0210603     0.28   0.778    -.0363736    .0483155
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: C. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  2,        47) =       7.10
                                                Prob > F          =     0.0020

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0002657   .0025401     0.10   0.917    -.0048443    .0053757
 entrycohort |    .001254   .0003784     3.31   0.002     .0004927    .0020152
       _cons |  -2.510413   .7649696    -3.28   0.002    -4.049333   -.9714928
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: C. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =       5.60
                                                Prob > F          =     0.0010

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0016941   .0022154     0.76   0.448     -.002768    .0061563
 entrycohort |   .0019099   .0006154     3.10   0.003     .0006705    .0031493
    post2005 |  -.0359989   .0161575    -2.23   0.031    -.0685418    -.003456
       postc |   .0012446   .0012248     1.02   0.315    -.0012223    .0037114
       _cons |  -3.819695   1.232327    -3.10   0.003     -6.30173   -1.337661
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: C. Sample: full. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =     103.71
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0024301   .0011602    -2.09   0.042    -.0047667   -.0000934
 entrycohort |   .0083024    .001075     7.72   0.000     .0061372    .0104676
    post1978 |   .0239024   .0065774     3.63   0.001     .0106549      .03715
   postc1978 |  -.0079788   .0010206    -7.82   0.000    -.0100345   -.0059232
       _cons |  -16.42771     2.1186    -7.75   0.000    -20.69479   -12.16063
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: C. Sample: full. Controls: 2break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  6,        43) =      90.23
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0025675   .0007179    -3.58   0.001    -.0040152   -.0011197
 entrycohort |   .0083577    .000974     8.58   0.000     .0063934    .0103219
    post2005 |  -.0090567   .0060245    -1.50   0.140    -.0212063    .0030929
       postc |   .0028133   .0006745     4.17   0.000     .0014531    .0041735
    post1978 |   .0312437   .0071414     4.38   0.000     .0168418    .0456456
   postc1978 |  -.0086085    .000958    -8.99   0.000    -.0105406   -.0066765
       _cons |  -16.53597   1.922164    -8.60   0.000    -20.41238   -12.65956
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: C. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  1,        33) =       0.04
                                                Prob > F          =     0.8409

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0007792   .0038517     0.20   0.841    -.0070572    .0086156
       _cons |  -.0190302   .0280211    -0.68   0.502    -.0760396    .0379792
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: C. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  2,        32) =       7.82
                                                Prob > F          =     0.0017

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0064359   .0023139     2.78   0.009     .0017226    .0111493
 entrycohort |   .0021356   .0005459     3.91   0.000     .0010237    .0032474
       _cons |   -4.29767   1.094426    -3.93   0.000    -6.526943   -2.068396
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: C. Sample: preGR. Controls: break
Skipping model


Depvar: rw_l. Cohort effects type: C. Sample: preGR. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  4,        30) =     123.34
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0013545   .0010821    -1.25   0.220    -.0035644    .0008554
 entrycohort |   .0078696   .0009595     8.20   0.000       .00591    .0098292
    post1978 |   .0311299   .0067987     4.58   0.000     .0172451    .0450146
   postc1978 |  -.0079861   .0009941    -8.03   0.000    -.0100163   -.0059558
       _cons |  -15.58038   1.892766    -8.23   0.000    -19.44592   -11.71484
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: C. Sample: preGR. Controls: 2break
Skipping model


Depvar: rw_l. Cohort effects type: E. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  1,        48) =       0.03
                                                Prob > F          =     0.8661

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |  -.0006064   .0035771    -0.17   0.866    -.0077987    .0065859
       _cons |  -.0022013   .0254842    -0.09   0.932    -.0534408    .0490381
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: E. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  2,        47) =      11.40
                                                Prob > F          =     0.0001

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0027457   .0023953     1.15   0.257     -.002073    .0075643
 entrycohort |   .0016998   .0003688     4.61   0.000     .0009578    .0024417
       _cons |  -3.413156   .7450977    -4.58   0.000      -4.9121   -1.914213
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: E. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =      11.17
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0043378   .0019609     2.21   0.032     .0003884    .0082873
 entrycohort |   .0024383   .0006044     4.03   0.000      .001221    .0036556
    post2005 |  -.0400787   .0159313    -2.52   0.016    -.0721659   -.0079914
       postc |   .0013496   .0011255     1.20   0.237    -.0009173    .0036166
       _cons |  -4.887242   1.208894    -4.04   0.000     -7.32208   -2.452404
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: E. Sample: full. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  4,        45) =     161.09
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0001278   .0011057     0.12   0.908    -.0020993    .0023549
 entrycohort |   .0080889    .001098     7.37   0.000     .0058775    .0103004
    post1978 |   .0269701    .006513     4.14   0.000     .0138523     .040088
   postc1978 |  -.0073279   .0010513    -6.97   0.000    -.0094453   -.0052105
       _cons |  -16.03047   2.164154    -7.41   0.000     -20.3893   -11.67165
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: E. Sample: full. Controls: 2break

Regression with Newey–West standard errors      Number of obs     =         50
Maximum lag = 2                                 F(  6,        43) =     142.87
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0003098   .0007711     0.40   0.690    -.0012452    .0018648
 entrycohort |   .0080157   .0010149     7.90   0.000      .005969    .0100624
    post2005 |  -.0141851   .0073176    -1.94   0.059    -.0289425    .0005722
       postc |   .0028821   .0006509     4.43   0.000     .0015693    .0041948
    post1978 |   .0329918   .0074391     4.43   0.000     .0179895    .0479942
   postc1978 |  -.0076695   .0010109    -7.59   0.000    -.0097082   -.0056308
       _cons |  -15.88711   2.002533    -7.93   0.000     -19.9256   -11.84862
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: E. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  1,        33) =       0.07
                                                Prob > F          =     0.7879

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0012071   .0044507     0.27   0.788    -.0078478    .0102621
       _cons |  -.0228415   .0323907    -0.71   0.486    -.0887409    .0430578
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: E. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  2,        32) =      11.92
                                                Prob > F          =     0.0001

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0081457    .002291     3.56   0.001     .0034791    .0128124
 entrycohort |   .0026195   .0005534     4.73   0.000     .0014924    .0037467
       _cons |  -5.271082   1.108113    -4.76   0.000    -7.528233    -3.01393
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: E. Sample: preGR. Controls: break
Skipping model


Depvar: rw_l. Cohort effects type: E. Sample: preGR. Controls: break78

Regression with Newey–West standard errors      Number of obs     =         35
Maximum lag = 2                                 F(  4,        30) =     161.85
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         ur0 |   .0004411   .0012025     0.37   0.716    -.0020148     .002897
 entrycohort |   .0079629   .0009901     8.04   0.000     .0059408     .009985
    post1978 |   .0329795   .0074579     4.42   0.000     .0177485    .0482105
   postc1978 |  -.0076021   .0010515    -7.23   0.000    -.0097496   -.0054546
       _cons |  -15.78367   1.953148    -8.08   0.000    -19.77253   -11.79481
------------------------------------------------------------------------------
(50 real changes made)
(50 real changes made)


Depvar: rw_l. Cohort effects type: E. Sample: preGR. Controls: 2break
Skipping model

. keep entrycohort b model depvar ur0 fitted_* resid_*

. tempfile cohfx2

. save `cohfx2'
file /tmp/St2868349.000006 saved as .dta format

. 
. ***Make a dataset of the coefficients
. drop _all

. set obs `nmodels'
Number of observations (_N) was 0, now 100.

. local modelnum=1

. gen depvar=""
(100 missing values generated)

. gen cohfx=""
(100 missing values generated)

. gen samp=""
(100 missing values generated)

. gen controls=""
(100 missing values generated)

. gen model=""
(100 missing values generated)

. gen delta=.
(100 missing values generated)

. foreach depvar in empl rw_l {
  2.   foreach cohfx in A B D C E {
  3.     foreach samp in full preGR {
  4.       foreach controls in none trend break break78 2break {
  5.         replace depvar="`depvar'" in `modelnum'
  6.         replace cohfx="`cohfx'" in `modelnum'
  7.         replace samp="`samp'" in `modelnum'
  8.         replace controls="`controls'" in `modelnum'
  9.         replace model="m`cohfx'1b" in `modelnum'
 10.         if "`b_`depvar'_`cohfx'_`samp'_`controls'_cohort'"!="" ///
>           replace delta=`b_`depvar'_`cohfx'_`samp'_`controls'_cohort' in `modelnum'
 11.         local modelnum=`modelnum'+1
 12.       }
 13.     }
 14.   }
 15. }
variable depvar was str1 now str4
(1 real change made)
(1 real change made)
variable samp was str1 now str4
(1 real change made)
variable controls was str1 now str4
(1 real change made)
variable model was str1 now str4
(1 real change made)
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variable controls was str4 now str5
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variable controls was str5 now str7
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variable samp was str4 now str5
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(1 real change made)

. tempfile deltas

. save `deltas'
file /tmp/St2868349.000007 saved as .dta format

. 
. ****Run cyclicality regressions - time effeccts
. // Four loops:
. //  1) Outcomes, 
. //  2) Cohort effect models -- age-adjusted, basic A-T-C decomposition, scarring, sensitivity, both
. //  3) Samples: Full sample, pre-GR
. //  4) Three regression models: no controls, time trend, time trend*post-2005 indicator.
. use `timefx', clear

. tsset dvarmod year

Panel variable: dvarmod (unbalanced)
 Time variable: year, 1979 to 2019
         Delta: 1 unit

. tempvar pred

. local nmodels=0

. foreach depvar in empl rw_l {
  2.   foreach timefx in B D C E {
  3.     foreach samp in full preGR {
  4.       if "`samp'"=="full" local select 
  5.       else if "`samp'"=="preGR" local select "& year<2005"
  6. 
.       foreach controls in none trend break {
  7.          if "`controls'"=="none" local X ""
  8.          if "`controls'"=="trend" local X "year"
  9.          if "`controls'"=="break" local X "year post2005 postt"
 10.          //if "`controls'"=="break78" local X "year post1978 postt1978"
.          //if "`controls'"=="break2" local X "year post2005 postt post1978 postt1978"
.          if "`controls'"=="none" local spec "0"
 11.          if "`controls'"=="trend" local spec "1"
 12.          if "`controls'"=="break" local spec "2"
 13.          //if "`controls'"=="break78" local spec "3"
.          //if "`controls'"=="2break" local spec "4"
.          di
 14.          di
 15.          di "Depvar: `depvar'. Time effects type: `timefx'. Sample: `samp'. Controls: `controls'"
 16.          if "`samp'"=="preGR" & inlist("`controls'","break","2break") di "Skipping model"
 17.          else {
 18.            newey b ur `X' if depvar=="`depvar'" & model=="m`timefx'1b" `select', lag(2)
 19.            eststo `depvar'_`timefx'_`samp'_`controls'_time, title("`timefx'_`spec'_`samp'")
 20.            local b_`depvar'_`timefx'_`samp'_`controls'_time=_b[ur]
 21.           
.            predict `pred' , xb
 22.            cap confirm var fitted_`samp'_`spec'
 23.            if _rc==0 {
 24.              replace fitted_`samp'_`spec'=`pred' if depvar=="`depvar'" & model=="m`timefx'1b"
 25.              replace resid_`samp'_`spec'=b-fitted_`samp'_`spec' if depvar=="`depvar'" & model=="m`timefx'1b"
 26.            }
 27.            else {
 28.              gen fitted_`samp'_`spec'=`pred' if depvar=="`depvar'" & model=="m`timefx'1b"
 29.              gen resid_`samp'_`spec'=b-fitted_`samp'_`spec' if depvar=="`depvar'" & model=="m`timefx'1b"
 30.            }
 31.            drop `pred'
 32.          }
 33.          local nmodels=`nmodels'+1
 34.       } // end of controls loop
 35.     } // end of samp loop
 36.   } // end of timefx loop 
 37. } // End of depvar loop


Depvar: empl. Time effects type: B. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  1,        39) =      22.59
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.5074838     .10678    -4.75   0.000    -.7234667   -.2915009
       _cons |   3.396456   .7376514     4.60   0.000     1.904415    4.888497
------------------------------------------------------------------------------
(4,547 missing values generated)
(4,547 missing values generated)


Depvar: empl. Time effects type: B. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  2,        38) =      31.60
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.6202549    .078971    -7.85   0.000    -.7801234   -.4603865
        year |  -.0504004    .021248    -2.37   0.023    -.0934149    -.007386
       _cons |    104.845   42.68174     2.46   0.019     18.44036    191.2497
------------------------------------------------------------------------------
(4,547 missing values generated)
(4,547 missing values generated)


Depvar: empl. Time effects type: B. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  4,        36) =      19.11
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.5735649   .1103921    -5.20   0.000    -.7974505   -.3496793
        year |  -.0468601   .0683425    -0.69   0.497    -.1854651     .091745
    post2005 |  -1.123752   .9795266    -1.15   0.259    -3.110324    .8628198
       postt |   .1142327   .0658688     1.73   0.091    -.0193554    .2478208
       _cons |   97.55557   136.6723     0.71   0.480    -179.6286    374.7397
------------------------------------------------------------------------------
(4,547 missing values generated)
(4,547 missing values generated)


Depvar: empl. Time effects type: B. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  1,        24) =       9.10
                                                Prob > F          =     0.0060

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.4328058   .1434999    -3.02   0.006     -.728975   -.1366365
       _cons |   3.356716   1.047748     3.20   0.004      1.19427    5.519161
------------------------------------------------------------------------------
(4,547 missing values generated)
(4,547 missing values generated)


Depvar: empl. Time effects type: B. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  2,        23) =       6.82
                                                Prob > F          =     0.0047

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.6195911   .2981915    -2.08   0.049    -1.236447   -.0027349
        year |  -.0526255   .0892776    -0.59   0.561    -.2373103    .1320593
       _cons |   109.3243   179.5129     0.61   0.548    -262.0265     480.675
------------------------------------------------------------------------------
(4,547 missing values generated)
(4,547 missing values generated)


Depvar: empl. Time effects type: B. Sample: preGR. Controls: break
Skipping model


Depvar: empl. Time effects type: D. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  1,        39) =       6.72
                                                Prob > F          =     0.0133

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.3845521   .1483283    -2.59   0.013    -.6845743   -.0845298
       _cons |   2.919273   .9426709     3.10   0.004     1.012542    4.826005
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: empl. Time effects type: D. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  2,        38) =      29.91
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.5544727   .0796251    -6.96   0.000    -.7156653   -.3932801
        year |  -.0759421   .0203578    -3.73   0.001    -.1171543   -.0347299
       _cons |   155.7794   40.83896     3.81   0.000     73.10526    238.4536
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: empl. Time effects type: D. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  4,        36) =      19.12
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.5305426   .1051255    -5.05   0.000     -.743747   -.3173381
        year |  -.0891734   .0668941    -1.33   0.191     -.224841    .0464941
    post2005 |  -.9407069   .9446451    -1.00   0.326    -2.856536    .9751221
       postt |   .1441399   .0635604     2.27   0.029     .0152334    .2730464
       _cons |    182.003   133.7684     1.36   0.182    -89.29195    453.2979
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: empl. Time effects type: D. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  1,        24) =       2.36
                                                Prob > F          =     0.1374

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.2419198   .1574186    -1.54   0.137    -.5668158    .0829762
       _cons |   2.615737   1.178826     2.22   0.036     .1827603    5.048715
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: empl. Time effects type: D. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  2,        23) =       3.36
                                                Prob > F          =     0.0525

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.5807469   .2879039    -2.02   0.055    -1.176322    .0148277
        year |  -.0954623   .0869523    -1.10   0.284    -.2753368    .0844123
       _cons |     194.84   174.8222     1.11   0.277    -166.8072    556.4873
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: empl. Time effects type: D. Sample: preGR. Controls: break
Skipping model


Depvar: empl. Time effects type: C. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  1,        39) =       3.38
                                                Prob > F          =     0.0735

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.2513609   .1366852    -1.84   0.074    -.5278328     .025111
       _cons |   2.225004   .8724516     2.55   0.015     .4603036    3.989704
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: empl. Time effects type: C. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  2,        38) =      17.99
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.4033504   .0759401    -5.31   0.000    -.5570831   -.2496178
        year |  -.0679282   .0198413    -3.42   0.001    -.1080949   -.0277616
       _cons |   138.9544   39.82542     3.49   0.001     58.33207    219.5768
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: empl. Time effects type: C. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  4,        36) =      10.76
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |   -.366338    .104369    -3.51   0.001    -.5780083   -.1546678
        year |  -.0714361   .0643409    -1.11   0.274    -.2019255    .0590533
    post2005 |  -1.043904   .9283765    -1.12   0.268    -2.926739    .8389304
       postt |   .1264763   .0634169     1.99   0.054    -.0021391    .2550917
       _cons |   145.7492   128.6993     1.13   0.265    -115.2651    406.7636
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: empl. Time effects type: C. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  1,        24) =       0.79
                                                Prob > F          =     0.3823

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.1158228   .1301489    -0.89   0.382    -.3844368    .1527913
       _cons |    1.92335   1.013349     1.90   0.070    -.1680991    4.014799
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: empl. Time effects type: C. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  2,        23) =       1.32
                                                Prob > F          =     0.2854

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.3718026   .2815894    -1.32   0.200    -.9543146    .2107095
        year |  -.0721206   .0845212    -0.85   0.402    -.2469661    .1027248
       _cons |   147.1465    169.972     0.87   0.396    -204.4673    498.7603
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: empl. Time effects type: C. Sample: preGR. Controls: break
Skipping model


Depvar: empl. Time effects type: E. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  1,        39) =       3.32
                                                Prob > F          =     0.0759

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.2560839   .1404577    -1.82   0.076    -.5401865    .0280187
       _cons |   2.245861   .8921457     2.52   0.016     .4413257    4.050396
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: empl. Time effects type: E. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  2,        38) =      20.02
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.4138398   .0751994    -5.50   0.000     -.566073   -.2616066
        year |  -.0705053   .0194816    -3.62   0.001    -.1099437    -.031067
       _cons |   144.1626   39.09215     3.69   0.001     65.02465    223.3005
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: empl. Time effects type: E. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  4,        36) =      12.10
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.3828521   .1021685    -3.75   0.001    -.5900594   -.1756447
        year |  -.0777889   .0640533    -1.21   0.232     -.207695    .0521172
    post2005 |  -.9793568   .9213435    -1.06   0.295    -2.847928    .8892144
       postt |   .1306163   .0623741     2.09   0.043     .0041158    .2571168
       _cons |   158.5066   128.1073     1.24   0.224    -101.3071    418.3203
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: empl. Time effects type: E. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  1,        24) =       0.73
                                                Prob > F          =     0.4019

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.1166198   .1366474    -0.85   0.402    -.3986461    .1654065
       _cons |   1.931181   1.052154     1.84   0.079    -.2403582     4.10272
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: empl. Time effects type: E. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  2,        23) =       1.45
                                                Prob > F          =     0.2557

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.4006164   .2784866    -1.44   0.164    -.9767098    .1754769
        year |  -.0800142   .0838705    -0.95   0.350    -.2535134    .0934851
       _cons |   163.0489   168.6464     0.97   0.344    -185.8228    511.9206
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: empl. Time effects type: E. Sample: preGR. Controls: break
Skipping model


Depvar: rw_l. Time effects type: B. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  1,        39) =       3.35
                                                Prob > F          =     0.0749

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0084702   .0046285    -1.83   0.075    -.0178323    .0008919
       _cons |   .0202009   .0297882     0.68   0.502    -.0400513    .0804531
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: B. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  2,        38) =      11.71
                                                Prob > F          =     0.0001

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |   -.005176   .0033945    -1.52   0.136    -.0120478    .0016958
        year |   .0014723   .0005691     2.59   0.014     .0003201    .0026244
       _cons |  -2.943222   1.153214    -2.55   0.015    -5.277782   -.6086613
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: B. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  4,        36) =      12.97
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0068234   .0036072    -1.89   0.067    -.0141392    .0004924
        year |   .0008056   .0017507     0.46   0.648     -.002745    .0043562
    post2005 |   .0265163   .0294249     0.90   0.373    -.0331602    .0861928
       postt |  -.0009486    .001834    -0.52   0.608    -.0046681    .0027709
       _cons |  -1.607276   3.496854    -0.46   0.649    -8.699225    5.484673
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: B. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  1,        24) =       5.37
                                                Prob > F          =     0.0293

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0105734   .0045616    -2.32   0.029    -.0199881   -.0011587
       _cons |   .0204058   .0359096     0.57   0.575    -.0537079    .0945196
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: B. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  2,        23) =       2.85
                                                Prob > F          =     0.0786

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0084272    .007516    -1.12   0.274    -.0239753    .0071209
        year |   .0006047   .0021789     0.28   0.784    -.0039026     .005112
       _cons |  -1.197192   4.374483    -0.27   0.787     -10.2465    7.852115
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: B. Sample: preGR. Controls: break
Skipping model


Depvar: rw_l. Time effects type: D. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  1,        39) =       2.67
                                                Prob > F          =     0.1102

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0059338   .0036304    -1.63   0.110    -.0132769    .0014093
       _cons |    .011796    .024686     0.48   0.635    -.0381361     .061728
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: D. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  2,        38) =       4.45
                                                Prob > F          =     0.0184

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0040197   .0032686    -1.23   0.226    -.0106366    .0025971
        year |   .0008555   .0005773     1.48   0.147    -.0003132    .0020241
       _cons |  -1.710115   1.168737    -1.46   0.152      -4.0761    .6558695
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: D. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  4,        36) =       6.02
                                                Prob > F          =     0.0008

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0061278   .0035419    -1.73   0.092    -.0133111    .0010555
        year |  -.0001881   .0017602    -0.11   0.915     -.003758    .0033817
    post2005 |   .0293143   .0298276     0.98   0.332    -.0311789    .0898076
       postt |  -.0001303   .0017958    -0.07   0.943    -.0037723    .0035116
       _cons |   .3787379    3.51535     0.11   0.915    -6.750721    7.508197
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: D. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  1,        24) =       2.04
                                                Prob > F          =     0.1666

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0063626   .0044601    -1.43   0.167    -.0155677    .0028424
       _cons |   .0055278   .0344948     0.16   0.874     -.065666    .0767217
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: D. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  2,        23) =       1.18
                                                Prob > F          =     0.3250

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |   -.007753   .0076251    -1.02   0.320    -.0235267    .0080208
        year |  -.0003917   .0021986    -0.18   0.860    -.0049398    .0041564
       _cons |   .7942815   4.413922     0.18   0.859    -8.336612    9.925175
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: D. Sample: preGR. Controls: break
Skipping model


Depvar: rw_l. Time effects type: C. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  1,        39) =       1.86
                                                Prob > F          =     0.1808

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0058762   .0043126    -1.36   0.181    -.0145994    .0028469
       _cons |   .0085086   .0283207     0.30   0.765    -.0487755    .0657926
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: C. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  2,        38) =       6.19
                                                Prob > F          =     0.0047

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0030208   .0034165    -0.88   0.382    -.0099372    .0038957
        year |   .0012762   .0005844     2.18   0.035     .0000932    .0024592
       _cons |  -2.560278   1.183335    -2.16   0.037    -4.955815   -.1647417
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: C. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  4,        36) =       7.48
                                                Prob > F          =     0.0002

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0047948   .0036422    -1.32   0.196    -.0121814    .0025919
        year |   .0005153   .0017896     0.29   0.775    -.0031142    .0041449
    post2005 |   .0275137   .0300766     0.91   0.366    -.0334844    .0885118
       postt |  -.0007773   .0018919    -0.41   0.684    -.0046142    .0030597
       _cons |  -1.036142   3.574269    -0.29   0.774    -8.285096    6.212813
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: C. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  1,        24) =       2.40
                                                Prob > F          =     0.1341

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0072701   .0046884    -1.55   0.134    -.0169465    .0024063
       _cons |   .0055812   .0364144     0.15   0.879    -.0695744    .0807367
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: C. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  2,        23) =       1.26
                                                Prob > F          =     0.3038

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0059583   .0077146    -0.77   0.448    -.0219171    .0100005
        year |   .0003696    .002228     0.17   0.870    -.0042395    .0049786
       _cons |  -.7386236   4.473128    -0.17   0.870    -9.991993    8.514746
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: C. Sample: preGR. Controls: break
Skipping model


Depvar: rw_l. Time effects type: E. Sample: full. Controls: none

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  1,        39) =       2.07
                                                Prob > F          =     0.1587

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0052315   .0036406    -1.44   0.159    -.0125953    .0021322
       _cons |   .0083149   .0247714     0.34   0.739    -.0417899    .0584197
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: E. Sample: full. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  2,        38) =       3.79
                                                Prob > F          =     0.0314

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0032881   .0032667    -1.01   0.321    -.0099012     .003325
        year |   .0008686   .0005777     1.50   0.141    -.0003009     .002038
       _cons |  -1.740006   1.169483    -1.49   0.145    -4.107501    .6274882
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: E. Sample: full. Controls: break

Regression with Newey–West standard errors      Number of obs     =         41
Maximum lag = 2                                 F(  4,        36) =       5.26
                                                Prob > F          =     0.0019

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0053783   .0035403    -1.52   0.137    -.0125583    .0018018
        year |  -.0001588   .0017672    -0.09   0.929    -.0037427    .0034252
    post2005 |   .0292447   .0299194     0.98   0.335    -.0314346    .0899239
       postt |  -.0001713   .0018036    -0.09   0.925    -.0038292    .0034866
       _cons |   .3163816   3.529134     0.09   0.929    -6.841035    7.473798
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: E. Sample: preGR. Controls: none

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  1,        24) =       1.57
                                                Prob > F          =     0.2224

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |  -.0056455   .0045067    -1.25   0.222     -.014947    .0036559
       _cons |   .0018812   .0347683     0.05   0.957     -.069877    .0736394
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: E. Sample: preGR. Controls: trend

Regression with Newey–West standard errors      Number of obs     =         26
Maximum lag = 2                                 F(  2,        23) =       0.91
                                                Prob > F          =     0.4163

------------------------------------------------------------------------------
             |             Newey–West
           b | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
          ur |   -.006874   .0076758    -0.90   0.380    -.0227526    .0090046
        year |  -.0003461   .0022082    -0.16   0.877    -.0049142    .0042219
       _cons |   .6988405   4.433372     0.16   0.876    -8.472288    9.869969
------------------------------------------------------------------------------
(41 real changes made)
(41 real changes made)


Depvar: rw_l. Time effects type: E. Sample: preGR. Controls: break
Skipping model

. keep year b model depvar ur fitted_* resid_*

. append using `cohfx2'

. save `cohfx2', replace
file /tmp/St2868349.000006 saved as .dta format

. 
. ***Make a dataset of the coefficients
. drop _all

. set obs `nmodels'
Number of observations (_N) was 0, now 48.

. local modelnum=1

. gen depvar=""
(48 missing values generated)

. gen timefx=""
(48 missing values generated)

. gen samp=""
(48 missing values generated)

. gen controls=""
(48 missing values generated)

. gen model=""
(48 missing values generated)

. gen beta=.
(48 missing values generated)

. foreach depvar in empl rw_l {
  2.   foreach timefx in B D C E {
  3.     foreach samp in full preGR {
  4.       foreach controls in none trend break {
  5.         replace depvar="`depvar'" in `modelnum'
  6.         replace timefx="`timefx'" in `modelnum'
  7.         replace samp="`samp'" in `modelnum'
  8.         replace model="m`timefx'1b" in `modelnum'
  9.         replace controls="`controls'" in `modelnum'
 10.         if "`b_`depvar'_`timefx'_`samp'_`controls'_time'"!="" ///
>           replace beta=`b_`depvar'_`timefx'_`samp'_`controls'_time' in `modelnum'
 11.         local modelnum=`modelnum'+1
 12.       }
 13.     }
 14.   }
 15. }
variable depvar was str1 now str4
(1 real change made)
(1 real change made)
variable samp was str1 now str4
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variable model was str1 now str4
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variable controls was str1 now str4
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. append using `deltas'
(variable controls was str5, now str7 to accommodate using data's values)

. save `output'/`dofile'_cyclecoeffs.dta, replace
file /accounts/projects/jr_ra/GRscarring/erratum/results/cohfxregs_cyclecoeffs.dta saved

. 
. // Now make the tables
. use `cohfx2', clear

. esttab empl_*_cohort using `output'/`dofile'.txt, replace b se nostar noparen nogaps mtitles ///
>     title("Models for cohort effects on dependent variable empl") 
(output written to /accounts/projects/jr_ra/GRscarring/erratum/results/cohfxregs.txt)

. esttab empl_*_time using `output'/`dofile'.txt, append b se nostar noparen nogaps mtitles ///
>     title("Models for year effects on dependent variable empl") 
(output written to /accounts/projects/jr_ra/GRscarring/erratum/results/cohfxregs.txt)

. 
. esttab rw_l_*_cohort using `output'/`dofile'.txt, append b se nostar noparen nogaps mtitles ///
>     title("Models for cohort effects on dependent variable rw_l") 
(output written to /accounts/projects/jr_ra/GRscarring/erratum/results/cohfxregs.txt)

. esttab rw_l_*_time using `output'/`dofile'.txt, append b se nostar noparen nogaps mtitles ///
>     title("Models for year effects on dependent variable rw_l") 
(output written to /accounts/projects/jr_ra/GRscarring/erratum/results/cohfxregs.txt)

. 
. esttab empl_*_cohort using `output'/`dofile'.csv, replace b se nostar noparen nogaps mtitles ///
>     title("Models for cohort effects on dependent variable empl") 
(output written to /accounts/projects/jr_ra/GRscarring/erratum/results/cohfxregs.csv)

. esttab empl_*_time using `output'/`dofile'.csv, append b se nostar noparen nogaps mtitles ///
>     title("Models for year effects on dependent variable empl") 
(output written to /accounts/projects/jr_ra/GRscarring/erratum/results/cohfxregs.csv)

. 
. esttab rw_l_*_cohort using `output'/`dofile'.csv, append b se nostar noparen nogaps mtitles ///
>     title("Models for cohort effects on dependent variable rw_l") 
(output written to /accounts/projects/jr_ra/GRscarring/erratum/results/cohfxregs.csv)

. esttab rw_l_*_time using `output'/`dofile'.csv, append b se nostar noparen nogaps mtitles ///
>     title("Models for year effects on dependent variable rw_l") 
(output written to /accounts/projects/jr_ra/GRscarring/erratum/results/cohfxregs.csv)

. 
. 
. save `scratch'/`dofile'.dta, replace
(file /accounts/projects/jr_ra/GRscarring/erratum/scratch/cohfxregs.dta not found)
file /accounts/projects/jr_ra/GRscarring/erratum/scratch/cohfxregs.dta saved

. 
. 
. //And make graphs
. // Now convert to monthly data for recession shading
. 
.     keep if entrycohort<.
(4,588 observations deleted)

.         gen month=ym(entrycohort, 7)

. 
.         tempfile base

.         save `base'
file /tmp/St2868349.000008 saved as .dta format

.         su month, meanonly

.         local fmonth=r(min)

.         local lmonth=r(max)

. 
.         use `scratch'/recessionlist, clear

.         keep if month>=`fmonth'-6 & month<=`lmonth'+5
(144 observations deleted)

.         gen model="recession"

.         append using `base'

. 
.         *Drop observations from before the 1978 birthcohort
.         *drop if month<ym(1978,7)
.         drop if month<ym(1970,1)
(354 observations deleted)

.         
.         *Drop observations from the last cohort, for which we have only a single observation
.          *For now (4/13/2020), this is 2019 for bigcps outcomes, 2019 for MORG, and 2017 for March
.          *Note that code is for specific dependent variables -- all others are set to missing
.          *for safety
.          drop if depvar=="empl" & month>ym(2018,12)
(32 observations deleted)

.          drop if depvar=="rw_l" & month>ym(2018,12)
(32 observations deleted)

.          drop if depvar=="log_pearnval_tc_r" & month>=ym(2016,7)
(64 observations deleted)

.          drop if !inlist(depvar, "empl", "rw_l", "log_pearnval_tc_r") & !inlist(model,"recession", "means")
(0 observations deleted)

. 
.     gen altrecession=recession
(6,276 missing values generated)

.     gen zero=0 if model=="recession"
(6,276 missing values generated)

.   
. // Baseline cohort graphs -- show the importance of A-T-C decomposition
.     replace altrecession=-6+8.5*recession
(576 real changes made)

.     foreach m in B C D E {
  2.       if "`m'"=="B" local paneltitle "Basic decomposition"
  3.       if "`m'"=="C" local paneltitle "Controlling for excess sensitivity"
  4.       if "`m'"=="D" local paneltitle "Controlling for scarring"
  5.       if "`m'"=="E" local paneltitle "Controlling for scarring & excess sensitivity"
  6.       if "`m'"=="E" local legendopt `"legend(order(2 "Estimated cohort effects" 3 "Predicted cohort effects") cols(1) ring(0) p
> os(7))"'
  7.       else local legendopt "legend(off)"
  8.       twoway area altrecession month if model=="recession", color(gs13) base(-6) || ///
>              line b month if model=="m`m'1b" & depvar=="empl", lstyle(p1) lpattern(solid)  yaxis(1) || ///
>              line fitted_preGR_1 month if model=="m`m'1b" & depvar=="empl", lstyle(p2) lpattern(dash) yaxis(1) || ///
>              line zero month if model=="recession", lpattern(dot) lcolor(black) || ///
>                      , xlabel( 126 "1970" 246 "1980" 366 "1990" 486 "2000" 606 "2010" 726 "2020" )  ///
>                        `legendopt' ///
>                        ytitle("Employment (%, 1991=2000=0)") xtitle("Entry cohort") ///
>                            title("`paneltitle'", size(medsmall)) ///
>                            name(model`m', replace) nodraw
  9.     }

.     local m="B"

.     local legendopt `"legend(order(2 "Estimated cohort effects" 3 "Predicted cohort effects") cols(1) ring(0) pos(7))"'

.       twoway area altrecession month if model=="recession", color(gs13) base(-6) || ///
>              line b month if model=="m`m'1b" & depvar=="empl", lstyle(p2) lpattern(solid)  yaxis(1) || ///
>              line fitted_preGR_1 month if model=="m`m'1b" & depvar=="empl", lstyle(p3) lpattern(dash) yaxis(1) || ///
>              line zero month if model=="recession", lpattern(dot) lcolor(black) || ///
>                      , xlabel( 126 "1970" 246 "1980" 366 "1990" 486 "2000" 606 "2010" 726 "2020" )  ///
>                        `legendopt' ///
>                        ytitle("Employment (%, 1991=2000=0)") xtitle("Entry cohort") ///
>                            title("A. Basic employment decomposition", size(medsmall)) ///
>                            name(panelA, replace) nodraw

.     local m="E"

.     local legendopt "legend(off)"

.       twoway area altrecession month if model=="recession", color(gs13) base(-6) || ///
>              line b month if model=="m`m'1b" & depvar=="empl", lstyle(p2) lpattern(solid)  yaxis(1) || ///
>              line fitted_preGR_1 month if model=="m`m'1b" & depvar=="empl", lstyle(p3) lpattern(dash) yaxis(1) || ///
>              line zero month if model=="recession", lpattern(dot) lcolor(black) || ///
>                      , xlabel( 126 "1970" 246 "1980" 366 "1990" 486 "2000" 606 "2010" 726 "2020" )  ///
>                        `legendopt' ///
>                        ytitle("Employment (%, 1991=2000=0)") xtitle("Entry cohort") ///
>                            title("B. Employment, controlling for early career effects", size(medsmall)) ///
>                            name(panelB, replace) nodraw

. 
.     graph combine modelB modelE, title("Predicted cohort effects on employment" "based on pre-2005 patterns") ///
>           saving("`output'/`dofile'_2panel_empl.gph", replace)                   
file /accounts/projects/jr_ra/GRscarring/erratum/results/cohfxregs_2panel_empl.gph saved

.     graph combine modelB modelD modelC modelE, title("Predicted cohort effects on employment" "based on pre-2005 patterns") ///
>           saving("`output'/`dofile'_4panel_empl.gph", replace)          
file /accounts/projects/jr_ra/GRscarring/erratum/results/cohfxregs_4panel_empl.gph saved

.                  
.     replace altrecession=-0.1 + 0.2*recession
(576 real changes made)

.     foreach m in B C D E {
  2.       if "`m'"=="B" local paneltitle "Basic decomposition"
  3.       if "`m'"=="C" local paneltitle "Controlling for excess sensitivity"
  4.       if "`m'"=="D" local paneltitle "Controlling for scarring"
  5.       if "`m'"=="E" local paneltitle "Controlling for scarring & excess sensitivity"
  6.       if "`m'"=="E" local legendopt `"legend(order(2 "Estimated cohort effects" 3 "Predicted cohort effects") cols(1) ring(0) p
> os(11))"'
  7.       else local legendopt "legend(off)"
  8.       twoway area altrecession month if model=="recession", color(gs13) base(-0.1) || ///
>              line b month if model=="m`m'1b" & depvar=="rw_l", lstyle(p3) lpattern(solid)  yaxis(1) || ///
>              line fitted_preGR_3 month if model=="m`m'1b" & depvar=="rw_l", lstyle(p1) lpattern(dash) yaxis(1) || ///
>              line zero month if model=="recession", lpattern(dot) lcolor(black) || ///
>                      , xlabel( 126 "1970" 246 "1980" 366 "1990" 486 "2000" 606 "2010" 726 "2020" )  ///
>                        `legendopt' ///
>                        ylabel(-0.1 (0.05) 0.1) ///
>                        ytitle("Log wage (1991=2000=0)") xtitle("Entry cohort") ///
>                            title("`paneltitle'", size(medsmall)) ///
>                            name(model`m', replace) nodraw
  9.     }

.     local m="B"

.     local legendopt "legend(off)"

.     replace altrecession=-0.1 + 0.15*recession
(89 real changes made)

.       twoway area altrecession month if model=="recession", color(gs13) base(-0.1) || ///
>              line b month if model=="m`m'1b" & depvar=="rw_l", lstyle(p2) lpattern(solid)  yaxis(1) || ///
>              line fitted_preGR_3 month if model=="m`m'1b" & depvar=="rw_l", lstyle(p3) lpattern(dash) yaxis(1) || ///
>              line zero month if model=="recession", lpattern(dot) lcolor(black) || ///
>                      , xlabel( 126 "1970" 246 "1980" 366 "1990" 486 "2000" 606 "2010" 726 "2020" )  ///
>                        `legendopt' ///
>                        ylabel(-0.1 (0.05) 0.05) ///
>                        ytitle("Log wage (1991=2000=0)") xtitle("Entry cohort") ///
>                            title("C. Basic log wage decomposition", size(medsmall)) ///
>                            name(panelC, replace) nodraw

.     local m="E"

.     local legendopt "legend(off)"

.       twoway area altrecession month if model=="recession", color(gs13) base(-0.1) || ///
>              line b month if model=="m`m'1b" & depvar=="rw_l", lstyle(p2) lpattern(solid)  yaxis(1) || ///
>              line fitted_preGR_3 month if model=="m`m'1b" & depvar=="rw_l", lstyle(p3) lpattern(dash) yaxis(1) || ///
>              line zero month if model=="recession", lpattern(dot) lcolor(black) || ///
>                      , xlabel( 126 "1970" 246 "1980" 366 "1990" 486 "2000" 606 "2010" 726 "2020" )  ///
>                        `legendopt' ///
>                        ylabel(-0.1 (0.05) 0.05) ///
>                        ytitle("Log wage (1991=2000=0)") xtitle("Entry cohort") ///
>                            title("D. Log wages, controlling for early career effects", size(medsmall)) ///
>                            name(panelD, replace) nodraw

.                            
.     graph combine modelB modelE, title("Predicted cohort effects on log wages" "based on pre-2005 patterns") ///
>           saving("`output'/`dofile'_2panel_rw_l.gph", replace)                   
file /accounts/projects/jr_ra/GRscarring/erratum/results/cohfxregs_2panel_rw_l.gph saved

.     graph combine modelB modelD modelC modelE, title("Predicted cohort effects on log wages" "based on pre-2005 patterns") ///
>           saving("`output'/`dofile'_4panel_rw_l.gph", replace)                   
file /accounts/projects/jr_ra/GRscarring/erratum/results/cohfxregs_4panel_rw_l.gph saved

.                      
. 
.     graph combine panelA panelB panelC panelD, title("Predicted cohort effects on employment and wages" "based on pre-2005 pattern
> s") ///
>           saving("`output'/`dofile'_4panel.gph", replace)
file /accounts/projects/jr_ra/GRscarring/erratum/results/cohfxregs_4panel.gph saved

.     graph combine panelA panelB panelC panelD,  ///
>           saving("`output'/`dofile'_4panel_notitle.gph", replace)
file /accounts/projects/jr_ra/GRscarring/erratum/results/cohfxregs_4panel_notitle.gph saved

. 
. if `doasproject'==1 {
.         project, creates(`scratch'/`dofile'.dta)
project GRscar_erratum > do-file creates: "/scratch/public/jr_ra/GRscarring2024/erratum/scratch/cohfxregs.dta" filesig(3130744956:21
> 41809)
.         project, creates(`output'/`dofile'.txt)
project GRscar_erratum > do-file creates: "results/cohfxregs.txt" filesig(1305012421:30940)
.         project, creates(`output'/`dofile'.csv)
project GRscar_erratum > do-file creates: "results/cohfxregs.csv" filesig(2530995258:15503)
.         project, creates(`output'/`dofile'_cyclecoeffs.dta)
project GRscar_erratum > do-file creates: "results/cohfxregs_cyclecoeffs.dta" filesig(1954259473:11299)
.         project, creates(`output'/`dofile'_2panel_empl.gph)
project GRscar_erratum > do-file creates: "results/cohfxregs_2panel_empl.gph" filesig(1557880429:51908)
.         project, creates(`output'/`dofile'_4panel_empl.gph)
project GRscar_erratum > do-file creates: "results/cohfxregs_4panel_empl.gph" filesig(2513477231:100384)
.         project, creates(`output'/`dofile'_2panel_rw_l.gph)
project GRscar_erratum > do-file creates: "results/cohfxregs_2panel_rw_l.gph" filesig(2801260283:52116)
.         project, creates(`output'/`dofile'_4panel_rw_l.gph)
project GRscar_erratum > do-file creates: "results/cohfxregs_4panel_rw_l.gph" filesig(2800081405:100802)
.         project, creates(`output'/`dofile'_4panel.gph)
project GRscar_erratum > do-file creates: "results/cohfxregs_4panel.gph" filesig(1793404764:101399)
.         project, creates(`output'/`dofile'_4panel_notitle.gph)
project GRscar_erratum > do-file creates: "results/cohfxregs_4panel_notitle.gph" filesig(2438901428:101164)
. }

. 
end of do-file
      name:  plog_884
       log:  /accounts/projects/jr_ra/GRscarring/erratum/programs/analysis/cohfxregs.log
  log type:  text
 closed on:  27 Nov 2024, 17:59:28
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